Official Slack MCP server enabling AI agents to interact with Slack workspaces through the Model Context Protocol. Featu
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Zread
Zread MCP Server: Z.AI-powered MCP for Claude Code, Cline and MCP clients — access docs, code & open-source repo knowled
Task Master
Boost productivity with Task Master: an AI-powered tool for project management and agile development workflows, integrat
Specif-ai
Specif-ai ensures secure web API access and robust error handling, making it a top choice among API security companies f
MCP Use
The fullstack MCP framework for developing MCP apps for ChatGPT, Claude, and building MCP servers for AI agents. Connect
Mastra Docs
Mastra Docs: AI assistants with direct access to Mastra.ai’s full knowledge base for faster, smarter support and insight
Slack MCP Server (Official) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Slack MCP Server (Official) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Slack MCP Server (Official) against two servers with overlapping tools; this profile had the clearer scope statement.
Slack MCP Server (Official) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Slack MCP Server (Official) is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: Slack MCP Server (Official) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Slack MCP Server (Official) against two servers with overlapping tools; this profile had the clearer scope statement.
Slack MCP Server (Official) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Slack MCP Server (Official) reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Slack MCP Server (Official) is the kind of server we cite when onboarding engineers to host + tool permissions.
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Claude Desktop configuration
by {
"mcpServers": {
"slack": {
"type": "http",
"url": "https://mcp.slack.com/mcp",
"oauth": {
"clientId": "1601185624273.8899143856786",
"callbackPort": 3118
}
}
}
}Connects AI agents to Slack workspaces to read messages, search conversations, and manage channels through the official Slack API.
Slack MCP Server (Official) is an official MCP server published by Slack that provides AI assistants with tools and capabilities via the Model Context Protocol. Official Slack MCP server enabling AI agents to interact with Slack workspaces through the Model Context Protocol. Featu It is categorized under productivity, communication, developer tools.
You can install Slack MCP Server (Official) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Backlog
Backlog integrates project issue tracking software and collaboration for efficient task management directly in conversat